Quantitative Research Methods for Professionals


Book Description

This concise text discusses a wide range of quantitative research methods, including advanced techniques such as logic regression, multilevel modeling, and structural equation modeling. Because the text emphasizes concepts rather than mathematics and computation formulas, it is accessible to a wide range of users of research. Professional practitioners in areas such education, business, social work, and psychology can gain an understanding of research methods sufficient to base their work on advanced research in their fields. The text discusses the quantitative designs and analytic techniques most needed by students in the social sciences and in applied disciplines such as education, social work, and business. It teaches what the various methods mean, when to use them, and how to interpret their results. Since it emphasizes general understanding rather than mathematical foundations, students are able to review a broad range of methods in a comparatively short space.




Introduction to Quantitative Research Methods


Book Description

Introduction to Quantitative Research Methods is a student-friendly introduction to quantitative research methods and basic statistics. It uses a detective theme throughout the text to show how quantitative methods have been used to solve real-life problems. The book focuses on principles and techniques that are appropriate to introductory level courses in media, psychology and sociology. Examples and illustrations are drawn from historical and contemporary research in the social sciences. The original CD-ROM accompanying the book and its content are no longer available.




Quantitative Methods


Book Description

An accessible introduction to the essential quantitative methods for making valuable business decisions Quantitative methods-research techniques used to analyze quantitative data-enable professionals to organize and understand numbers and, in turn, to make good decisions. Quantitative Methods: An Introduction for Business Management presents the application of quantitative mathematical modeling to decision making in a business management context and emphasizes not only the role of data in drawing conclusions, but also the pitfalls of undiscerning reliance of software packages that implement standard statistical procedures. With hands-on applications and explanations that are accessible to readers at various levels, the book successfully outlines the necessary tools to make smart and successful business decisions. Progressing from beginner to more advanced material at an easy-to-follow pace, the author utilizes motivating examples throughout to aid readers interested in decision making and also provides critical remarks, intuitive traps, and counterexamples when appropriate. The book begins with a discussion of motivations and foundations related to the topic, with introductory presentations of concepts from calculus to linear algebra. Next, the core ideas of quantitative methods are presented in chapters that explore introductory topics in probability, descriptive and inferential statistics, linear regression, and a discussion of time series that includes both classical topics and more challenging models. The author also discusses linear programming models and decision making under risk as well as less standard topics in the field such as game theory and Bayesian statistics. Finally, the book concludes with a focus on selected tools from multivariate statistics, including advanced regression models and data reduction methods such as principal component analysis, factor analysis, and cluster analysis. The book promotes the importance of an analytical approach, particularly when dealing with a complex system where multiple individuals are involved and have conflicting incentives. A related website features Microsoft Excel® workbooks and MATLAB® scripts to illustrate concepts as well as additional exercises with solutions. Quantitative Methods is an excellent book for courses on the topic at the graduate level. The book also serves as an authoritative reference and self-study guide for financial and business professionals, as well as readers looking to reinforce their analytical skills.




Quantitative and Statistical Research Methods


Book Description

Quantitative and Statistical Research Methods This user-friendly textbook teaches students to understand and apply procedural steps in completing quantitative studies. It explains statistics while progressing through the steps of the hypothesis-testing process from hypothesis to results. The research problems used in the book reflect statistical applications related to interesting and important topics. In addition, the book provides a Research Analysis and Interpretation Guide to help students analyze research articles. Designed as a hands-on resource, each chapter covers a single research problem and offers directions for implementing the research method from start to finish. Readers will learn how to: Pinpoint research questions and hypotheses Identify, classify, and operationally define the study variables Choose appropriate research designs Conduct power analysis Select an appropriate statistic for the problem Use a data set Conduct data screening and analyses using SPSS Interpret the statistics Write the results related to the problem Quantitative and Statistical Research Methods allows students to immediately, independently, and successfully apply quantitative methods to their own research projects.




Best Practices in Quantitative Methods


Book Description

The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.




SAGE Quantitative Research Methods


Book Description

For more than 40 years, SAGE has been one of the leading international publishers of works on quantitative research methods in the social sciences. This new collection provides readers with a representative sample of the best articles in quantitative methods that have appeared in SAGE journals as chosen by W. Paul Vogt, editor of other successful major reference collections such as Selecting Research Methods (2008) and Data Collection (2010). The volumes and articles are organized by theme rather than by discipline. Although there are some discipline-specific methods, most often quantitative research methods cut across disciplinary boundaries. Volume One: Fundamental Issues in Quantitative Research Volume Two: Measurement for Causal and Statistical Inference Volume Three: Alternatives to Hypothesis Testing Volume Four: Complex Designs for a Complex World




Quantitative Research Methods for Social Work


Book Description

Quantitative research makes a very important contribution to both understanding and responding effectively to the problems that social work service users face. In this unique and authoritative text, a group of expert authors explore the key areas of data collection, analysis and evaluation and outline in detail how they can be applied to practice.




Quantitative Research Methods


Book Description

Attempting to describe quantitative research methods through one volume of material is quite a challenging endeavor and it should be noted here that this book is by no means attempting to exhaustively present everything under the Sun on the subject. Interested readers will need to expand on what is presented here by searching the extant literature on what exists and what best suits their research needs. Having said that, the book does cover the great majority of quantitative methods found in social sciences research.The motivation for developing this book came from years of delivering quantitative methods courses for graduate programs in Europe and the USA. Through exposure to such programs it became apparent that while most students had some exposure, to statistics mainly, at the time they entered graduate studies most of their understanding and familiarity with quantitative techniques was forgotten or vaguely remembered. In many cases, what remained was the impression of how much they "hated" the subject. Overcoming this negative predisposition required a re-introduction of basic concepts and a fast-track approach to higher and more advanced methods of analysis.These realities guided the development of this book and so the assumption is made that the reader doesn't know anything about quantitative research and about research in general. All concepts presented in the book are defined and introduced. Also, alternative and overlapping expressions and keywords used in quantitative research are presented so the reader can identify them in their readings of academic research. Whether this "zero-to-hero" approach succeeded is left for the reader to judge.Additional effort was made to include examples that are easily replicated in spreadsheets like Excel so the users can manually repeat them at their convenience. Regarding the use of software, commands for executing the various methods for SPSS are given in footnotes to avoid diverting from the core narrative of the text. The interested reader can easily retrieve a plethora of material from the Internet with step-by-step instructions for most of the analysis techniques discussed here and for the most popular statistical software packages. The book's website at www.harkiolakis.com/books/quan provides additional material for executing the methods discussed here with SPSS, as well as all book images in higher resolution and links to other sources online. For instructors who are interested in using the book as a textbook, data sets and exercises on the methods included in the book are available upon request.




Introduction to Quantitative Research Methods


Book Description

Introduction to Quantitative Research Methods is a student-friendly introduction to quantitative research methods and basic statistics. It uses a detective theme throughout the text to show how quantitative methods have been used to solve real-life problems. The book focuses on principles and techniques that are appropriate to introductory level courses in media, psychology and sociology. Examples and illustrations are drawn from historical and contemporary research in the social sciences. The original CD-ROM accompanying the book and its content are no longer available.




Handbook of Quantitative Research Methods in Entrepreneurship


Book Description

This Handbook will be an invaluable original reference tool for both researchers and students embarking on a new research project. It will be useful both for those who are using quantitative data for the first time and for more experienced researchers who are interested in new quantitative techniques and methods.